Merge branch 'master' into fix/norm

* master:
  Replace the last of unittest with pytest (pydata#2467)
  Add python_requires to setup.py (pydata#2465)
  Clean up _parse_array_of_cftime_strings (pydata#2464)
  plot.contour: Don't make cmap if colors is a single color. (pydata#2453)
  np.AxisError was added in numpy 1.13 (pydata#2455)
  Add CFTimeIndex.shift (pydata#2431)
  Fix FutureWarning in CFTimeIndex.date_type (pydata#2448)
  fix:2445 (pydata#2446)
  Enable use of cftime.datetime coordinates with differentiate and interp (pydata#2434)
  restore ddof support in std (pydata#2447)
  Future warning for default reduction dimension of groupby (pydata#2366)
  Remove incorrect statement about "drop" in the text docs (pydata#2439)
  Use profile mechanism, not no-op mutation (pydata#2442)
  switch travis language to generic (pydata#2432)

.travis.yml

@@ -1,5 +1,5 @@
 # Based on http://conda.pydata.org/docs/travis.html
-language: python
+language: minimal
 sudo: false # use container based build
 notifications:
   email: false
@@ -10,74 +10,48 @@ branches:
 matrix:
   fast_finish: true
   include:
-  - python: 2.7
-    env: CONDA_ENV=py27-min
-  - python: 2.7
-    env: CONDA_ENV=py27-cdat+iris+pynio
-  - python: 3.5
-    env: CONDA_ENV=py35
-  - python: 3.6
-    env: CONDA_ENV=py36
-  - python: 3.6  # TODO: change this to 3.7 once https://github.com/travis-ci/travis-ci/issues/9815 is fixed
-    env: CONDA_ENV=py37
-  - python: 3.6
-    env:
+  - env: CONDA_ENV=py27-min
+  - env: CONDA_ENV=py27-cdat+iris+pynio
+  - env: CONDA_ENV=py35
+  - env: CONDA_ENV=py36
+  - env: CONDA_ENV=py37
+  - env:
     - CONDA_ENV=py36
     - EXTRA_FLAGS="--run-flaky --run-network-tests"
-  - python: 3.6
-    env: CONDA_ENV=py36-netcdf4-dev
+  - env: CONDA_ENV=py36-netcdf4-dev
     addons:
       apt_packages:
         - libhdf5-serial-dev
         - netcdf-bin
         - libnetcdf-dev
-  - python: 3.6
-    env: CONDA_ENV=py36-dask-dev
-  - python: 3.6
-    env: CONDA_ENV=py36-pandas-dev
-  - python: 3.6
-    env: CONDA_ENV=py36-bottleneck-dev
-  - python: 3.6
-    env: CONDA_ENV=py36-condaforge-rc
-  - python: 3.6
-    env: CONDA_ENV=py36-pynio-dev
-  - python: 3.6
-    env: CONDA_ENV=py36-rasterio-0.36
-  - python: 3.6
-    env: CONDA_ENV=py36-zarr-dev
-  - python: 3.5
-    env: CONDA_ENV=docs
-  - python: 3.6
-    env: CONDA_ENV=py36-hypothesis
+  - env: CONDA_ENV=py36-dask-dev
+  - env: CONDA_ENV=py36-pandas-dev
+  - env: CONDA_ENV=py36-bottleneck-dev
+  - env: CONDA_ENV=py36-condaforge-rc
+  - env: CONDA_ENV=py36-pynio-dev
+  - env: CONDA_ENV=py36-rasterio-0.36
+  - env: CONDA_ENV=py36-zarr-dev
+  - env: CONDA_ENV=docs
+  - env: CONDA_ENV=py36-hypothesis
+
   allow_failures:
-  - python: 3.6
-    env:
+  - env:
     - CONDA_ENV=py36
     - EXTRA_FLAGS="--run-flaky --run-network-tests"
-  - python: 3.6
-    env: CONDA_ENV=py36-netcdf4-dev
+  - env: CONDA_ENV=py36-netcdf4-dev
     addons:
       apt_packages:
         - libhdf5-serial-dev
         - netcdf-bin
         - libnetcdf-dev
-  - python: 3.6
-    env: CONDA_ENV=py36-pandas-dev
-  - python: 3.6
-    env: CONDA_ENV=py36-bottleneck-dev
-  - python: 3.6
-    env: CONDA_ENV=py36-condaforge-rc
-  - python: 3.6
-    env: CONDA_ENV=py36-pynio-dev
-  - python: 3.6
-    env: CONDA_ENV=py36-zarr-dev
+  - env: CONDA_ENV=py36-pandas-dev
+  - env: CONDA_ENV=py36-bottleneck-dev
+  - env: CONDA_ENV=py36-condaforge-rc
+  - env: CONDA_ENV=py36-pynio-dev
+  - env: CONDA_ENV=py36-zarr-dev
 
 before_install:
-  - if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
-      wget http://repo.continuum.io/miniconda/Miniconda-3.16.0-Linux-x86_64.sh -O miniconda.sh;
-    else
-      wget http://repo.continuum.io/miniconda/Miniconda3-3.16.0-Linux-x86_64.sh -O miniconda.sh;
-    fi
+  - wget http://repo.continuum.io/miniconda/Miniconda3-3.16.0-Linux-x86_64.sh -O miniconda.sh;
   - bash miniconda.sh -b -p $HOME/miniconda
   - export PATH="$HOME/miniconda/bin:$PATH"
   - hash -r
@@ -97,6 +71,8 @@ install:
   - python xarray/util/print_versions.py
 
 script:
+  - which python
+  - python --version
   - python -OO -c "import xarray"
   - if [[ "$CONDA_ENV" == "docs" ]]; then
       conda install -c conda-forge sphinx sphinx_rtd_theme sphinx-gallery numpydoc;

doc/api-hidden.rst

@@ -151,3 +151,5 @@
    plot.FacetGrid.set_titles
    plot.FacetGrid.set_ticks
    plot.FacetGrid.map
+
+   CFTimeIndex.shift

doc/data-structures.rst

@@ -408,13 +408,6 @@ operations keep around coordinates:
     list(ds[['x']])
     list(ds.drop('temperature'))
 
-If a dimension name is given as an argument to ``drop``, it also drops all
-variables that use that dimension:
-
-.. ipython:: python
-
-    list(ds.drop('time'))
-
 As an alternate to dictionary-like modifications, you can use
 :py:meth:`~xarray.Dataset.assign` and :py:meth:`~xarray.Dataset.assign_coords`.
 These methods return a new dataset with additional (or replaced) or values:

doc/interpolation.rst

@@ -63,6 +63,9 @@ by specifing the time periods required.
 
     da_dt64.interp(time=pd.date_range('1/1/2000', '1/3/2000', periods=3))
 
+Interpolation of data indexed by a :py:class:`~xarray.CFTimeIndex` is also
+allowed.  See :ref:`CFTimeIndex` for examples.
+
 .. note::
 
   Currently, our interpolation only works for regular grids.

doc/time-series.rst

@@ -70,9 +70,9 @@ You can manual decode arrays in this form by passing a dataset to
 One unfortunate limitation of using ``datetime64[ns]`` is that it limits the
 native representation of dates to those that fall between the years 1678 and
 2262. When a netCDF file contains dates outside of these bounds, dates will be
-returned as arrays of ``cftime.datetime`` objects and a ``CFTimeIndex``
-can be used for indexing.  The ``CFTimeIndex`` enables only a subset of
-the indexing functionality of a ``pandas.DatetimeIndex`` and is only enabled
+returned as arrays of :py:class:`cftime.datetime` objects and a :py:class:`~xarray.CFTimeIndex`
+can be used for indexing.  The :py:class:`~xarray.CFTimeIndex` enables only a subset of
+the indexing functionality of a :py:class:`pandas.DatetimeIndex` and is only enabled
 when using the standalone version of ``cftime`` (not the version packaged with
 earlier versions ``netCDF4``).  See :ref:`CFTimeIndex` for more information.
 
@@ -219,20 +219,20 @@ Non-standard calendars and dates outside the Timestamp-valid range
 ------------------------------------------------------------------
 
 Through the standalone ``cftime`` library and a custom subclass of
-``pandas.Index``, xarray supports a subset of the indexing functionality enabled
-through the standard ``pandas.DatetimeIndex`` for dates from non-standard
-calendars or dates using a standard calendar, but outside the
-`Timestamp-valid range`_ (approximately between years 1678 and 2262).  This
-behavior has not yet been turned on by default; to take advantage of this
-functionality, you must have the ``enable_cftimeindex`` option set to
+:py:class:`pandas.Index`, xarray supports a subset of the indexing
+functionality enabled through the standard :py:class:`pandas.DatetimeIndex` for
+dates from non-standard calendars or dates using a standard calendar, but
+outside the `Timestamp-valid range`_ (approximately between years 1678 and
+2262).  This behavior has not yet been turned on by default; to take advantage
+of this functionality, you must have the ``enable_cftimeindex`` option set to
 ``True`` within your context (see :py:func:`~xarray.set_options` for more
 information).  It is expected that this will become the default behavior in
 xarray version 0.11.
 
 For instance, you can create a DataArray indexed by a time
 coordinate with a no-leap calendar within a context manager setting the
 ``enable_cftimeindex`` option, and the time index will be cast to a
-``CFTimeIndex``:
+:py:class:`~xarray.CFTimeIndex`:
 
 .. ipython:: python
 
@@ -247,28 +247,28 @@ coordinate with a no-leap calendar within a context manager setting the
                          
 .. note::
 
-   With the ``enable_cftimeindex`` option activated, a ``CFTimeIndex``
+   With the ``enable_cftimeindex`` option activated, a :py:class:`~xarray.CFTimeIndex`
    will be used for time indexing if any of the following are true:
 
    - The dates are from a non-standard calendar
    - Any dates are outside the Timestamp-valid range
 
-   Otherwise a ``pandas.DatetimeIndex`` will be used.  In addition, if any
+   Otherwise a :py:class:`pandas.DatetimeIndex` will be used.  In addition, if any
    variable (not just an index variable) is encoded using a non-standard
-   calendar, its times will be decoded into ``cftime.datetime`` objects,
+   calendar, its times will be decoded into :py:class:`cftime.datetime` objects,
    regardless of whether or not they can be represented using
    ``np.datetime64[ns]`` objects.
 
-xarray also includes a :py:func:`cftime_range` function, which enables creating a
-``CFTimeIndex`` with regularly-spaced dates.  For instance, we can create the
-same dates and DataArray we created above using:
+xarray also includes a :py:func:`~xarray.cftime_range` function, which enables
+creating a :py:class:`~xarray.CFTimeIndex` with regularly-spaced dates.  For instance, we can
+create the same dates and DataArray we created above using:
 
 .. ipython:: python
 
    dates = xr.cftime_range(start='0001', periods=24, freq='MS', calendar='noleap')
    da = xr.DataArray(np.arange(24), coords=[dates], dims=['time'], name='foo')
    
-For data indexed by a ``CFTimeIndex`` xarray currently supports:
+For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray currently supports:
 
 - `Partial datetime string indexing`_ using strictly `ISO 8601-format`_ partial
   datetime strings:
@@ -294,7 +294,25 @@ For data indexed by a ``CFTimeIndex`` xarray currently supports:
 .. ipython:: python
 
    da.groupby('time.month').sum()
-   
+
+- Interpolation using :py:class:`cftime.datetime` objects:
+
+.. ipython:: python
+
+   da.interp(time=[DatetimeNoLeap(1, 1, 15), DatetimeNoLeap(1, 2, 15)])
+
+- Interpolation using datetime strings:
+
+.. ipython:: python
+
+   da.interp(time=['0001-01-15', '0001-02-15'])
+
+- Differentiation:
+
+.. ipython:: python
+
+   da.differentiate('time')
+
 - And serialization:
 
 .. ipython:: python
@@ -305,7 +323,7 @@ For data indexed by a ``CFTimeIndex`` xarray currently supports:
 .. note::
 
    Currently resampling along the time dimension for data indexed by a
-   ``CFTimeIndex`` is not supported.
+   :py:class:`~xarray.CFTimeIndex` is not supported.
 
 .. _Timestamp-valid range: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#timestamp-limitations
 .. _ISO 8601-format: https://en.wikipedia.org/wiki/ISO_8601

doc/whats-new.rst

@@ -30,20 +30,51 @@ What's New
 v0.11.0 (unreleased)
 --------------------
 
+Breaking changes
+~~~~~~~~~~~~~~~~
+
+- Reduction of :py:meth:`DataArray.groupby` and :py:meth:`DataArray.resample`
+  without dimension argument will change in the next release.
+  Now we warn a FutureWarning.
+  By `Keisuke Fujii <https://github.com/fujiisoup>`_.
+
+Documentation
+~~~~~~~~~~~~~
 Enhancements
 ~~~~~~~~~~~~
 
 - Added support for Python 3.7. (:issue:`2271`).
   By `Joe Hamman <https://github.com/jhamman>`_.
-
 - ``xarray.plot()`` now properly accepts a ``norm`` argument and does not override
   the norm's ``vmin`` and ``vmax``.
   (:issue:`2381`)
   By `Deepak Cherian <https://github.com/dcherian>`_.
-
+- Added :py:meth:`~xarray.CFTimeIndex.shift` for shifting the values of a
+  CFTimeIndex by a specified frequency.  (:issue:`2244`).  By `Spencer Clark
+  <https://github.com/spencerkclark>`_.
+- Added support for using ``cftime.datetime`` coordinates with
+  :py:meth:`~xarray.DataArray.differentiate`,
+  :py:meth:`~xarray.Dataset.differentiate`,
+  :py:meth:`~xarray.DataArray.interp`, and
+  :py:meth:`~xarray.Dataset.interp`.
+  By `Spencer Clark <https://github.com/spencerkclark>`_
+
 Bug fixes
 ~~~~~~~~~
 
+- Addition and subtraction operators used with a CFTimeIndex now preserve the
+  index's type. (:issue:`2244`). By `Spencer Clark <https://github.com/spencerkclark>`_.
+- ``xarray.DataArray.roll`` correctly handles multidimensional arrays.
+  (:issue:`2445`)
+  By `Keisuke Fujii <https://github.com/fujiisoup>`_.
+
+- ``xarray.DataArray.std()`` now correctly accepts ``ddof`` keyword argument.
+  (:issue:`2240`)
+  By `Keisuke Fujii <https://github.com/fujiisoup>`_.
+- Restore matplotlib's default of plotting dashed negative contours when
+  a single color is passed to ``DataArray.contour()`` e.g. ``colors='k'``.
+  By `Deepak Cherian <https://github.com/dcherian>`_.
+
 
 .. _whats-new.0.10.9:
 

properties/test_encode_decode.py

@@ -13,7 +13,8 @@
 import xarray as xr
 
 # Run for a while - arrays are a bigger search space than usual
-settings.deadline = None
+settings.register_profile("ci", deadline=None)
+settings.load_profile("ci")
 
 
 an_array = npst.arrays(

setup.py

@@ -69,5 +69,6 @@
       install_requires=INSTALL_REQUIRES,
       tests_require=TESTS_REQUIRE,
       url=URL,
+      python_requires='>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*',
       packages=find_packages(),
       package_data={'xarray': ['tests/data/*']})

xarray/__init__.py

@@ -34,3 +34,5 @@
 from . import tutorial
 from . import ufuncs
 from . import testing
+
+from .core.common import ALL_DIMS